minor changes, 1.0 release

Author: galinilin

src/main.js

@@ -133,8 +133,6 @@ initializeDummyNeuralNetwork = () => {
 		do{
 			// Generate fake sample for dummy nn
 			let [dummynn_input, dummynn_target] = dummynn_generate_sample();
-			console.log(dummynn_input.toString());
-			console.log(dummynn_target.toString());
 
 			// Start fake training
 			dummynn.vArgs.autoTrain.inProgress = true;

src/nn.js

@@ -1603,8 +1603,8 @@ class Weight{
 
 				// Red/Green interpolation
 				let gradientColorValue = (Math.abs(this.gradientVisualValue) / vArgs.gradientStats.gMax) * 255;
-				if(this.gradientVisualValue > 0) canvas.stroke(0, gradientColorValue, 0, 192);
-				else if(this.gradientVisualValue < 0) canvas.stroke(gradientColorValue, 0, 0, 192);
+				if(this.gradientVisualValue > 0) canvas.stroke(0, gradientColorValue, 0, 128);
+				else if(this.gradientVisualValue < 0) canvas.stroke(gradientColorValue, 0, 0, 128);
 
 				canvas.strokeWeight(3);
 				canvas.line(fromX, fromY, toX, toY);